
OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!
If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.
Requested Article:
Explainability in AI-based behavioral malware detection systems
Antonio Galli, Valerio La Gatta, Vincenzo Moscato, et al.
Computers & Security (2024) Vol. 141, pp. 103842-103842
Open Access | Times Cited: 13
Antonio Galli, Valerio La Gatta, Vincenzo Moscato, et al.
Computers & Security (2024) Vol. 141, pp. 103842-103842
Open Access | Times Cited: 13
Showing 13 citing articles:
AI-based Malware Detection in IoT Networks within Smart Cities: A Survey
Mustafa J.M. Alhamdi, José Manuel López-Guede, Jafar AlQaryouti, et al.
Computer Communications (2025), pp. 108055-108055
Closed Access
Mustafa J.M. Alhamdi, José Manuel López-Guede, Jafar AlQaryouti, et al.
Computer Communications (2025), pp. 108055-108055
Closed Access
Explainable deep learning approach for advanced persistent threats (APTs) detection in cybersecurity: a review
Noor Hazlina Abdul Mutalib, Aznul Qalid Md Sabri, Ainuddin Wahid Abdul Wahab, et al.
Artificial Intelligence Review (2024) Vol. 57, Iss. 11
Open Access | Times Cited: 4
Noor Hazlina Abdul Mutalib, Aznul Qalid Md Sabri, Ainuddin Wahid Abdul Wahab, et al.
Artificial Intelligence Review (2024) Vol. 57, Iss. 11
Open Access | Times Cited: 4
A Comprehensive Investigation into Robust Malware Detection with Explainable Ai
Elshan Baghirov
(2024)
Closed Access | Times Cited: 1
Elshan Baghirov
(2024)
Closed Access | Times Cited: 1
The revolution and vision of explainable AI for Android malware detection and protection
Shamsher Ullah, Jianqiang Li, Farhan Ullah, et al.
Internet of Things (2024) Vol. 27, pp. 101320-101320
Closed Access | Times Cited: 1
Shamsher Ullah, Jianqiang Li, Farhan Ullah, et al.
Internet of Things (2024) Vol. 27, pp. 101320-101320
Closed Access | Times Cited: 1
Hybrid feature extraction and integrated deep learning for cloud-based malware detection
Pham Sy Nguyen, Tran Nhat Huy, Tong Anh Tuan, et al.
Computers & Security (2024), pp. 104233-104233
Closed Access | Times Cited: 1
Pham Sy Nguyen, Tran Nhat Huy, Tong Anh Tuan, et al.
Computers & Security (2024), pp. 104233-104233
Closed Access | Times Cited: 1
Explainable Obfuscated Memory Malware Detector Using Sparse Projections with Isolated Family Distinction Paradigm
S P Sharmila, Shubham Gupta, Aruna Tiwari, et al.
(2024)
Closed Access
S P Sharmila, Shubham Gupta, Aruna Tiwari, et al.
(2024)
Closed Access
Efficient malware detection using hybrid approach of transfer learning and generative adversarial examples with image representation
Yue Zhao, Farhan Ullah, Chien‐Ming Chen, et al.
Expert Systems (2024)
Closed Access
Yue Zhao, Farhan Ullah, Chien‐Ming Chen, et al.
Expert Systems (2024)
Closed Access
Position: The Explainability Paradox - Challenges for XAI in Malware Detection and Analysis
Li Rui, Olga Gadyatskaya
(2024), pp. 554-561
Closed Access
Li Rui, Olga Gadyatskaya
(2024), pp. 554-561
Closed Access
A Comprehensive Investigation into Robust Malware Detection with Explainable AI
Elshan Baghirov
Cyber Security and Applications (2024) Vol. 3, pp. 100072-100072
Closed Access
Elshan Baghirov
Cyber Security and Applications (2024) Vol. 3, pp. 100072-100072
Closed Access
Comprehensive Ransomware Detection: Optimization of Feature Selection through Machine Learning Algorithms and Explainable AI on Memory Analysis
Lucas Leonel, Diego Nunes Molinos, Rodrigo Sanches Miani
(2024), pp. 123-138
Closed Access
Lucas Leonel, Diego Nunes Molinos, Rodrigo Sanches Miani
(2024), pp. 123-138
Closed Access
A novel lightweight Machine Learning framework for IoT malware classification based on matrix block mean Downsampling
Mahmoud E. Farfoura, Ibrahim Mashal, Ahmad Alkhatib, et al.
Ain Shams Engineering Journal (2024) Vol. 16, Iss. 1, pp. 103205-103205
Open Access
Mahmoud E. Farfoura, Ibrahim Mashal, Ahmad Alkhatib, et al.
Ain Shams Engineering Journal (2024) Vol. 16, Iss. 1, pp. 103205-103205
Open Access
Research on AI-Based Techniques for Detecting Complex Malicious Code Behavior
Y. F. Han
(2024), pp. 98-104
Closed Access
Y. F. Han
(2024), pp. 98-104
Closed Access
Fair XIDS: Ensuring fairness and transparency in intrusion detection models
Chinu, Urvashi Bansal
Concurrency and Computation Practice and Experience (2024) Vol. 36, Iss. 25
Open Access
Chinu, Urvashi Bansal
Concurrency and Computation Practice and Experience (2024) Vol. 36, Iss. 25
Open Access